instruction stringclasses 133
values | answer stringclasses 22
values | tag stringclasses 23
values | split_kind stringclasses 2
values | text stringclasses 133
values |
|---|---|---|---|---|
Return the sum using add(a, b). | def add(a, b):
return a + b | code_add | train_seen | Instruction: Return the sum using add(a, b).
Answer: def add(a, b):
return a + b <END> |
User: Please call me Evan.
User: What name should you use? | Evan. | context_name | train_seen | Instruction: User: Please call me Evan.
User: What name should you use?
Answer: Evan. <END> |
Make a function called add that uses plus. | def add(a, b):
return a + b | code_add | train_regression | Instruction: Make a function called add that uses plus.
Answer: def add(a, b):
return a + b <END> |
Give a tiny explanation of return in Python. | A return statement sends a value back from a function. | return_statement | train_seen | Instruction: Give a tiny explanation of return in Python.
Answer: A return statement sends a value back from a function. <END> |
Write the SUBTRACT function. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Write the SUBTRACT function.
Answer: def subtract(a, b):
return a - b <END> |
Sentiment of this text: I love this tool. | positive | sentiment_positive | train_seen | Instruction: Sentiment of this text: I love this tool.
Answer: positive <END> |
User: My name is Evan.
User: What is my name? | Evan. | context_name | train_seen | Instruction: User: My name is Evan.
User: What is my name?
Answer: Evan. <END> |
Write a Python subtract function using the - operator. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Write a Python subtract function using the - operator.
Answer: def subtract(a, b):
return a - b <END> |
What food did Evan eat today? | I don't know from the given information. | idk_food_today | train_seen | Instruction: What food did Evan eat today?
Answer: I don't know from the given information. <END> |
Give a tiny explanation of return in Python. | A return statement sends a value back from a function. | return_statement | train_seen | Instruction: Give a tiny explanation of return in Python.
Answer: A return statement sends a value back from a function. <END> |
If you lack logs and files, what should you ask for? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you lack logs and files, what should you ask for?
Answer: Ask for the missing evidence. <END> |
Give me subtract(a, b) for subtraction. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Give me subtract(a, b) for subtraction.
Answer: def subtract(a, b):
return a - b <END> |
Rewrite professionally: I can't make it. | I am unable to attend. | rewrite_professional_attend | train_seen | Instruction: Rewrite professionally: I can't make it.
Answer: I am unable to attend. <END> |
What comes before patching files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What comes before patching files?
Answer: Inspect the current files first. <END> |
Write the SUBTRACT function. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Write the SUBTRACT function.
Answer: def subtract(a, b):
return a - b <END> |
Make a function called add that uses plus. | def add(a, b):
return a + b | code_add | train_regression | Instruction: Make a function called add that uses plus.
Answer: def add(a, b):
return a + b <END> |
Return a + b from a function named add. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Return a + b from a function named add.
Answer: def add(a, b):
return a + b <END> |
What is the point of tests? | Tests show whether the code still behaves as expected. | tests_matter | train_seen | Instruction: What is the point of tests?
Answer: Tests show whether the code still behaves as expected. <END> |
If you do not have enough current evidence, what is the right move? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you do not have enough current evidence, what is the right move?
Answer: Ask for the missing evidence. <END> |
What should happen before guessing a patch? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: What should happen before guessing a patch?
Answer: Ask for the missing evidence. <END> |
Sentiment of this text: This is broken. | negative | sentiment_negative | train_seen | Instruction: Sentiment of this text: This is broken.
Answer: negative <END> |
User: Call me Evan.
User: What should you call me? | Evan. | context_name | train_regression | Instruction: User: Call me Evan.
User: What should you call me?
Answer: Evan. <END> |
Tell me what Evan ate today. | I don't know from the given information. | idk_food_today | train_seen | Instruction: Tell me what Evan ate today.
Answer: I don't know from the given information. <END> |
What should you do if the evidence is missing? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: What should you do if the evidence is missing?
Answer: Ask for the missing evidence. <END> |
If you cannot verify the project state, what is the right response? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you cannot verify the project state, what is the right response?
Answer: Ask for the missing evidence. <END> |
What comes before patching files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What comes before patching files?
Answer: Inspect the current files first. <END> |
Context: name: Evan.
Question: Which name was given? | Evan. | context_name | train_seen | Instruction: Context: name: Evan.
Question: Which name was given?
Answer: Evan. <END> |
Return the product using multiply(a, b). | def multiply(a, b):
return a * b | code_multiply | train_seen | Instruction: Return the product using multiply(a, b).
Answer: def multiply(a, b):
return a * b <END> |
On a clear day, what color is the sky? | Blue. | sky_color | train_seen | Instruction: On a clear day, what color is the sky?
Answer: Blue. <END> |
Return a + b from a function named add. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Return a + b from a function named add.
Answer: def add(a, b):
return a + b <END> |
Which film is my favorite? | I don't know from the given information. | idk_favorite_movie | train_regression | Instruction: Which film is my favorite?
Answer: I don't know from the given information. <END> |
Make a function called subtract that uses minus. | def subtract(a, b):
return a - b | code_subtract | train_regression | Instruction: Make a function called subtract that uses minus.
Answer: def subtract(a, b):
return a - b <END> |
Write a Python subtract function using the - operator. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Write a Python subtract function using the - operator.
Answer: def subtract(a, b):
return a - b <END> |
What is the capital of France? | Paris. | capital_france | train_seen | Instruction: What is the capital of France?
Answer: Paris. <END> |
Make this professional: I can't make it. | I am unable to attend. | rewrite_professional_attend | train_seen | Instruction: Make this professional: I can't make it.
Answer: I am unable to attend. <END> |
Sentiment of this text: I love this tool. | positive | sentiment_positive | train_seen | Instruction: Sentiment of this text: I love this tool.
Answer: positive <END> |
What is the first move before touching project files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What is the first move before touching project files?
Answer: Inspect the current files first. <END> |
Create subtract so it computes a minus b. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Create subtract so it computes a minus b.
Answer: def subtract(a, b):
return a - b <END> |
Do you have enough information to name my favorite movie? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: Do you have enough information to name my favorite movie?
Answer: I don't know from the given information. <END> |
Write the MULTIPLY function. | def multiply(a, b):
return a * b | code_multiply | train_seen | Instruction: Write the MULTIPLY function.
Answer: def multiply(a, b):
return a * b <END> |
Explain what a return statement does. | A return statement sends a value back from a function. | return_statement | train_seen | Instruction: Explain what a return statement does.
Answer: A return statement sends a value back from a function. <END> |
Yes or no: does a square have five sides? Explain. | No, because a square has exactly four sides. | no_square_five_sides | train_seen | Instruction: Yes or no: does a square have five sides? Explain.
Answer: No, because a square has exactly four sides. <END> |
What is my favorite movie? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: What is my favorite movie?
Answer: I don't know from the given information. <END> |
Yes or no: can water become ice? Explain. | Yes, because water can become ice when it is cold enough. | yes_water_freeze | train_seen | Instruction: Yes or no: can water become ice? Explain.
Answer: Yes, because water can become ice when it is cold enough. <END> |
Create an add function that returns a plus b. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Create an add function that returns a plus b.
Answer: def add(a, b):
return a + b <END> |
Make a Python function named divide that divides a by b. | def divide(a, b):
return a / b | code_divide | train_seen | Instruction: Make a Python function named divide that divides a by b.
Answer: def divide(a, b):
return a / b <END> |
Return the sum using add(a, b). | def add(a, b):
return a + b | code_add | train_seen | Instruction: Return the sum using add(a, b).
Answer: def add(a, b):
return a + b <END> |
Is a five-sided square possible? Give a reason. | No, because a square has exactly four sides. | no_square_five_sides | train_seen | Instruction: Is a five-sided square possible? Give a reason.
Answer: No, because a square has exactly four sides. <END> |
What movie do I like most? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: What movie do I like most?
Answer: I don't know from the given information. <END> |
Return the difference using subtract(a, b). | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Return the difference using subtract(a, b).
Answer: def subtract(a, b):
return a - b <END> |
What should happen before touching code? | Inspect the current files first. | inspect_first | train_seen | Instruction: What should happen before touching code?
Answer: Inspect the current files first. <END> |
What is my favorite movie? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: What is my favorite movie?
Answer: I don't know from the given information. <END> |
Write the ADD function. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Write the ADD function.
Answer: def add(a, b):
return a + b <END> |
Before making file changes, what should you inspect? | Inspect the current files first. | inspect_first | train_seen | Instruction: Before making file changes, what should you inspect?
Answer: Inspect the current files first. <END> |
Classify this as code or prose: The cat sat down. | prose | classify_prose | train_seen | Instruction: Classify this as code or prose: The cat sat down.
Answer: prose <END> |
What should happen before guessing a patch? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: What should happen before guessing a patch?
Answer: Ask for the missing evidence. <END> |
What movie do I like most? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: What movie do I like most?
Answer: I don't know from the given information. <END> |
Label the sentiment: This is broken. | negative | sentiment_negative | train_seen | Instruction: Label the sentiment: This is broken.
Answer: negative <END> |
Make a Python function named add that adds two numbers. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Make a Python function named add that adds two numbers.
Answer: def add(a, b):
return a + b <END> |
What is the first move before touching project files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What is the first move before touching project files?
Answer: Inspect the current files first. <END> |
Which film is my favorite? | I don't know from the given information. | idk_favorite_movie | train_regression | Instruction: Which film is my favorite?
Answer: I don't know from the given information. <END> |
What should you do before making a blind fix? | Ask for the missing evidence. | evidence_missing | train_regression | Instruction: What should you do before making a blind fix?
Answer: Ask for the missing evidence. <END> |
Return a - b from a function named subtract. | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Return a - b from a function named subtract.
Answer: def subtract(a, b):
return a - b <END> |
Context: name: Evan.
Question: Which name was given? | Evan. | context_name | train_regression | Instruction: Context: name: Evan.
Question: Which name was given?
Answer: Evan. <END> |
If you cannot verify the project state, what is the right response? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you cannot verify the project state, what is the right response?
Answer: Ask for the missing evidence. <END> |
Make a Python function named add that adds two numbers. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Make a Python function named add that adds two numbers.
Answer: def add(a, b):
return a + b <END> |
Which film is my favorite? | I don't know from the given information. | idk_favorite_movie | train_regression | Instruction: Which film is my favorite?
Answer: I don't know from the given information. <END> |
Create multiply so it computes a times b. | def multiply(a, b):
return a * b | code_multiply | train_seen | Instruction: Create multiply so it computes a times b.
Answer: def multiply(a, b):
return a * b <END> |
What comes before patching files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What comes before patching files?
Answer: Inspect the current files first. <END> |
Context: user name = Evan.
Question: What name is stored? | Evan. | context_name | train_seen | Instruction: Context: user name = Evan.
Question: What name is stored?
Answer: Evan. <END> |
Conversation:
User: The name is Evan.
User: What is the name? | Evan. | context_name | train_seen | Instruction: Conversation:
User: The name is Evan.
User: What is the name?
Answer: Evan. <END> |
Context: The user's name is Evan.
Question: What is the user's name? | Evan. | context_name | train_seen | Instruction: Context: The user's name is Evan.
Question: What is the user's name?
Answer: Evan. <END> |
Make a function called add that uses plus. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Make a function called add that uses plus.
Answer: def add(a, b):
return a + b <END> |
If you cannot verify the project state, what is the right response? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you cannot verify the project state, what is the right response?
Answer: Ask for the missing evidence. <END> |
Which film is my favorite? | I don't know from the given information. | idk_favorite_movie | train_regression | Instruction: Which film is my favorite?
Answer: I don't know from the given information. <END> |
Make a Python function named add that adds two numbers. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Make a Python function named add that adds two numbers.
Answer: def add(a, b):
return a + b <END> |
What should you do before making a blind fix? | Ask for the missing evidence. | evidence_missing | train_regression | Instruction: What should you do before making a blind fix?
Answer: Ask for the missing evidence. <END> |
In Python, what is return for? | A return statement sends a value back from a function. | return_statement | train_seen | Instruction: In Python, what is return for?
Answer: A return statement sends a value back from a function. <END> |
What is the first move before touching project files? | Inspect the current files first. | inspect_first | train_seen | Instruction: What is the first move before touching project files?
Answer: Inspect the current files first. <END> |
What is my favorite movie? | I don't know from the given information. | idk_favorite_movie | train_seen | Instruction: What is my favorite movie?
Answer: I don't know from the given information. <END> |
Write add(a, b). | def add(a, b):
return a + b | code_add | train_seen | Instruction: Write add(a, b).
Answer: def add(a, b):
return a + b <END> |
Which film is my favorite? | I don't know from the given information. | idk_favorite_movie | train_regression | Instruction: Which film is my favorite?
Answer: I don't know from the given information. <END> |
Context: The user's name is Evan.
Question: What is the user's name? | Evan. | context_name | train_seen | Instruction: Context: The user's name is Evan.
Question: What is the user's name?
Answer: Evan. <END> |
If the command output is missing, what should you ask for? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If the command output is missing, what should you ask for?
Answer: Ask for the missing evidence. <END> |
Write the MULTIPLY function. | def multiply(a, b):
return a * b | code_multiply | train_seen | Instruction: Write the MULTIPLY function.
Answer: def multiply(a, b):
return a * b <END> |
If the current repo state is unknown, what do you ask for? | Ask for the missing evidence. | evidence_missing | train_regression | Instruction: If the current repo state is unknown, what do you ask for?
Answer: Ask for the missing evidence. <END> |
Is this code or prose: def add(a, b): return a + b | code | classify_code | train_seen | Instruction: Is this code or prose: def add(a, b): return a + b
Answer: code <END> |
Conversation:
User: The name is Evan.
User: What is the name? | Evan. | context_name | train_seen | Instruction: Conversation:
User: The name is Evan.
User: What is the name?
Answer: Evan. <END> |
Write multiply(a, b). | def multiply(a, b):
return a * b | code_multiply | train_seen | Instruction: Write multiply(a, b).
Answer: def multiply(a, b):
return a * b <END> |
Make a function called add that uses plus. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Make a function called add that uses plus.
Answer: def add(a, b):
return a + b <END> |
Make a function called subtract that uses minus. | def subtract(a, b):
return a - b | code_subtract | train_regression | Instruction: Make a function called subtract that uses minus.
Answer: def subtract(a, b):
return a - b <END> |
If you cannot verify the project state, what is the right response? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: If you cannot verify the project state, what is the right response?
Answer: Ask for the missing evidence. <END> |
Sentiment of this text: This is broken. | negative | sentiment_negative | train_seen | Instruction: Sentiment of this text: This is broken.
Answer: negative <END> |
Write subtract(a, b). | def subtract(a, b):
return a - b | code_subtract | train_seen | Instruction: Write subtract(a, b).
Answer: def subtract(a, b):
return a - b <END> |
If the current repo state is unknown, what do you ask for? | Ask for the missing evidence. | evidence_missing | train_regression | Instruction: If the current repo state is unknown, what do you ask for?
Answer: Ask for the missing evidence. <END> |
Before claiming root cause without proof, what should you do? | Ask for the missing evidence. | evidence_missing | train_seen | Instruction: Before claiming root cause without proof, what should you do?
Answer: Ask for the missing evidence. <END> |
Write the ADD function. | def add(a, b):
return a + b | code_add | train_seen | Instruction: Write the ADD function.
Answer: def add(a, b):
return a + b <END> |
Remember inside this prompt: password is blue.
Question: What is the password? | blue. | context_password | train_seen | Instruction: Remember inside this prompt: password is blue.
Question: What is the password?
Answer: blue. <END> |
What should happen before touching code? | Inspect the current files first. | inspect_first | train_seen | Instruction: What should happen before touching code?
Answer: Inspect the current files first. <END> |
What should you do before editing a project? | Inspect the current files first. | inspect_first | train_seen | Instruction: What should you do before editing a project?
Answer: Inspect the current files first. <END> |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
TT639B Targeted Assistant Ladder v1
Goal: Repair TT639 dense failure groups using the actual TT639 report.
This is not a broad chatbot/general-knowledge claim. It targets:
- evidence-missing / no blind patch behavior
- context-name prompt binding
- add/subtract wording variants
- unknown favorite movie behavior
Gate: TT639B only starts after TT638D dense + dyadic/Mercy proof and TT639 dense failure evidence.
Next gate: Only run TT639B dyadic/Mercy compare if dense seen + regression + rule + heldout all pass.
- Downloads last month
- 72